MiMo-V2.5 vs Muse Wonder
Muse Wonder leads the LLM Stats Score 49.2 to 35.9.
Xiaomi · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 49.2 to 35.9, ranking #25 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiMo-V2.5
- you need open weights you can self-host or fine-tune
Choose Muse Wonder
- overall performance matters — it scores 49.2 and ranks #25 on LLM Stats
- your work emphasizes coding and agents — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for MiMo-V2.5 · 16 for Muse Wonder
MiMo-V2.5 and Muse Wonderdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only MiMo-V2.5 specifies input context (1,048,576 tokens). Only MiMo-V2.5 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.5 and Muse Wonder support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.5
Muse Wonder
License
Usage and distribution terms
MiMo-V2.5 is licensed under MIT, while Muse Wonder uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiMo-V2.5 was released on 2026-04-22, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 6 months newer than MiMo-V2.5.
Apr 22, 2026
6 months ago
Oct 12, 2026
1 weeks ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.5 and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.5 vs Muse Wonder.